Hierarchical classifier design in high-dimensional numerous class cases

B. Kim; D.A. Landgrebe

doi:10.1109/36.135813

Hierarchical classifier design in high-dimensional numerous class cases

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.135813 ◽

1991 ◽

Vol 29 (4) ◽

pp. 518-528 ◽

Cited By ~ 59

Author(s):

B. Kim ◽

D.A. Landgrebe

Keyword(s):

High Dimensional ◽

Classifier Design ◽

Hierarchical Classifier

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A decision tree classifier design for high-dimensional data with limited training samples

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.1996.516476 ◽

2002 ◽

Cited By ~ 7

Author(s):

S. Tadjudin ◽

D.A. Landgrebe

Keyword(s):

Decision Tree ◽

High Dimensional Data ◽

High Dimensional ◽

Decision Tree Classifier ◽

Classifier Design ◽

Training Samples ◽

Tree Classifier ◽

Limited Training Samples

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An adaptive classifier design for high-dimensional data analysis with a limited training data set

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.975001 ◽

2001 ◽

Vol 39 (12) ◽

pp. 2664-2679 ◽

Cited By ~ 128

Author(s):

Q. Jackson ◽

D.A. Landgrebe

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Training Data ◽

High Dimensional ◽

Data Set ◽

Classifier Design ◽

High Dimensional Data Analysis

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Hierarchical Classifier Design Using Mutual Information

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.1982.4767278 ◽

1982 ◽

Vol PAMI-4 (4) ◽

pp. 441-445 ◽

Cited By ~ 123

Author(s):

I. K. Sethi ◽

G. P. R. Sarvarayudu

Keyword(s):

Mutual Information ◽

Classifier Design ◽

Hierarchical Classifier

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Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment

Journal of Experimental & Theoretical Artificial Intelligence ◽

10.1080/0952813x.2020.1764630 ◽

2020 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

P. Vasuki ◽

Chandrabose Aravindan

Keyword(s):

Emotion Recognition ◽

Speech Emotion Recognition ◽

Cultural Environment ◽

Classifier Design ◽

Hierarchical Classifier

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Hierarchical classifier design for airborne SAR images of ships

10.1117/12.323866 ◽

1998 ◽

Cited By ~ 9

Author(s):

Langis Gagnon ◽

Robert Klepko

Keyword(s):

Sar Images ◽

Classifier Design ◽

Airborne Sar ◽

Hierarchical Classifier

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A decision theoretic approach to hierarchical classifier design

Pattern Recognition ◽

10.1016/0031-3203(84)90087-6 ◽

1984 ◽

Vol 17 (3) ◽

pp. 359-369 ◽

Cited By ~ 25

Author(s):

Juergen Schuermann ◽

Wolfgang Doster

Keyword(s):

Theoretic Approach ◽

Classifier Design ◽

Decision Theoretic Approach ◽

Hierarchical Classifier

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Joint feature selection and hierarchical classifier design

2011 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/icsmc.2011.6083921 ◽

2011 ◽

Cited By ~ 4

Author(s):

Cecille Freeman ◽

Dana Kulic ◽

Otman Basir

Keyword(s):

Feature Selection ◽

Classifier Design ◽

Hierarchical Classifier

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An application of feature selection for the fuzzy rule based classifier design with the order based sematics of linguistic terms for high-dimensional datasets

Journal of Computer Science and Cybernetics ◽

10.15625/1813-9663/31/2/5025 ◽

2015 ◽

Vol 31 (2) ◽

Author(s):

Phạm Đình Phong

Keyword(s):

Feature Selection ◽

Fuzzy Rule ◽

High Dimensional ◽

Linguistic Terms ◽

Rule Based ◽

Classifier Design ◽

Selection For ◽

Rule Based Classifier ◽

High Dimensional Datasets

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A self-improving classifier design for high-dimensional data analysis with a limited training data set

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.976209 ◽

2002 ◽

Cited By ~ 1

Author(s):

Q. Jackson ◽

D. Landgrebe

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Training Data ◽

High Dimensional ◽

Data Set ◽

Classifier Design ◽

High Dimensional Data Analysis

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High-Dimensional Probability

10.1017/9781108231596 ◽

2018 ◽

Cited By ~ 101

Author(s):

Roman Vershynin

Keyword(s):

High Dimensional

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